任务规划与分解
1、Chain-of-Thought Prompting Elicits Reasoning in Large Language Models https://arxiv.org/abs/2201.11903
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
2、Tree of Thoughts: Deliberate Problem Solving with Large Language Models https://arxiv.org/abs/2305.10601
3、Implicit Chain of Thought Reasoning via Knowledge Distillation https://arxiv.org/abs/2311.01460
4、ReAct: Synergizing Reasoning and Acting in Language Models https://arxiv.org/abs/2210.03629
5、ART: Automatic multi-step reasoning and tool-use for large language models https://arxiv.org/abs/2303.09014
6、Branch-Solve-Merge Improves Large Language Model Evaluation and Generation https://arxiv.org/abs/2310.15123
7、WizardLM: Empowering Large Language Models to Follow Complex Instructions
https://arxiv.org/pdf/2304.1224
WizardLM: Empowering Large Language Models to Follow Complex Instructions 导读